发明名称 Facilitating Operation of a Machine Learning Environment
摘要 Machine learning systems are represented as directed acyclic graphs, where the nodes represent functional modules in the system and edges represent input/output relations between the functional modules. A machine learning environment can then be created to facilitate the training and operation of these machine learning systems.
申请公布号 US2014310208(A1) 申请公布日期 2014.10.16
申请号 US201313860467 申请日期 2013.04.10
申请人 MACHINE PERCEPTION TECHNOLOGIES INC. 发明人 Fasel Ian;Polizo James;Whitehill Jacob;Susskind Joshua M.;Movellan Javier R.
分类号 G06N99/00 主分类号 G06N99/00
代理机构 代理人
主权项 1. A computer-implemented method for facilitating operation of a machine learning environment, the environment comprising functional modules that can be configured and linked in different ways to define different machine learning instances, the method comprising: receiving a directed acyclic graph defining a machine learning instance, the directed acyclic graph containing nodes and edges connecting the nodes, the nodes identifying functional modules, the edges entering a node representing inputs to the functional module and the edges exiting a node representing outputs of the functional module; and executing the machine learning instance defined by the acyclic graph.
地址 San Diego CA US